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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Oak Ridge National Laboratory - **Location:** Oak Ridge, TN, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Data Analysis, ArcGIS (Software), Computer Vision, Audit Trail, Big Data, Cloud Computing, Databases, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Visualization, Relational Databases, Linux, Interoperability, Python (Programming Language), Machine Learning, Metadata, Natural Language Processing, Operational Data Store, PostGIS, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Data Processing, Retrieval-Augmented Generation, Large Language Models, Information Technology, Feature Extraction, Data Pipelines, Automation Anywhere, Docker - **Published:** August 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18125084?backUrl=%2Fcareer%2F18125084%2FData-Engineer-Tennessee-Oak-Ridge ## About the Role This position requires a strong background in image processing, data engineering, workflow automation, geospatial data systems, and applied analytics, along with experience working in secure mission environments. The ideal candidate will be capable of translating complex datasets into actionable insights through dashboards, reports, technical artifacts, and user-facing tools, while supporting both research and operationalobjectives., * BS degree in computer science or a related field, and two years of relevant experience data science, image processing, geospatial analysis, data engineering, software engineering, or a related field. An equivalent combination of education and experience may be considered. * Demonstrated experience designing and implementing end-to-end data systems or automated analytical workflows. * Experience processing and analyzing large, complex datasets, including imagery, geospatial data, and operational or mission-relevant data sources. * Experience with Python, SQL, and common libraries/frameworks for data analysis, workflow automation, and image or geospatial data processing. * Experience with relational databases, data modeling, ETL pipelines, and data wrangling to support scalable and reliable analytical workflows. * Experience translating analytical outputs into dashboards, reports, visualizations, or briefings for technical and non-technical stakeholders. * Demonstrated ability to develop and apply data science methods to improve efficiency, accessibility, and decision-making. * Experience working in secure or classified environments with strong attention to compliance, auditability, and proper data handling practices. * Strong written and oral communication skills and the ability to collaborate effectively on multidisciplinary teams. * Ability to work independently, plan and arrange own work, and coordinate with management to prioritize projects., * BS degree in data science, computer science, geospatial science, remote sensing, engineering, applied mathematics, or a related discipline. * Experience with image processing, imagery analysis, computer vision, or geospatial exploitation workflows involving satellite imagery, full-motion video, or related sensor data. * Experience with ArcGIS Pro, ArcGIS Enterprise,PostGIS,GeoPandas, or other geospatial analytics and visualization tools. * Experience developing natural language interfaces, retrieval-augmented generation systems, or other AI-enabled tools that improve access to structured or unstructured data. * Experience with machine learning, artificial intelligence, and/or natural language processing applied to operational or analytical workflows. * Experience operating LLM or AI workflows in secure or air-gapped environments. * Experience building guardrails, validation mechanisms, and controlled execution workflows for automated analytic systems. * Experience with Docker, Linux, cloud platforms, or other technologies supporting deployment and reproducible software workflows. * Experience coaching team members in technical skill development and promoting proper data practices. * Certification in data science, machine learning, geospatial analysis, or a related field. ## Description * Develop and automate image processing and data science workflows that support mission-driven analysis in classified environments. * Design, implement, andmaintainscalable pipelines for ingesting, cleaning, transforming, integrating, and analyzing imagery, geospatial, and structured operational data. * Assess data science project requirements and determineappropriate methods, tools, and technologies for workflow automation, image exploitation, and analytic delivery. * Define systems and processes that ensure data integrity, scalability, auditability, and reproducibility of results across projects. * Build andoptimizedata models, schemas, and databases that improve data quality, usability, and interoperability across systems. * Support the automation of preprocessing, feature extraction, metadata exploitation, validation, and quality control for image and geospatial datasets. * Deliver project results and confer with peers and stakeholders to ensure alignment with research, operational, and sponsorobjectives. * Contribute to dashboards, technical documentation, reports, software prototypes, briefings, and other artifacts that communicate methods and findings. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. 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